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artículo con referato
"Potential predictive value of cofilin-1 for metastasis occurrence in a small cohort of Argentinian patients with mid-low Breslow thickness melanoma"
Irene L. Ibañez, Francisco M. Grings, Candelaria Bracalente, Adriana R. Rinflerch, Victoria Volonteri, Mauro A.A. Castro, Fabio Klamt and Hebe Durán
Pathol. Res. Pract. 215(10) (2019) 152582/1-8
Nowadays, histopathological criteria for melanocytic lesions are the mainstay prognostic factors for melanoma. However, there are cases in which these parameters fall short to predict melanoma spread. We recently demonstrated a correlation of cofilin-1 levels, a key protein for tumor invasion, with different histopathological parameters associated with melanoma malignancy as well as a negative correlation with survival. In order to broaden our previous findings, we aim to estimate the probability of a melanoma to metastasize as a function of both a conventional histopathological parameter (Breslow thickness, BT) and cofilin-1’s immunohistochemical expression levels, which we propose as a potential marker for metastasis. We used a Bayesian approach to analyze clinical and cofilin-1 datasets formerly obtained from a patients' small cohort diagnosed with malignant melanocytic lesions since 2000 until 2008; classified at different tumor stages with or without detected metastasis and with at least 5 years of clinical follow-up. Low BT values exhibited wide variance to predict metastasis occurrence, while the differential diagnostic value of cofilin-1 confirmed BT diagnosis or resulted more precise to predict outcome. Particularly, the probability of metastasis estimation improved when cofilin-1 was combined with BT for specific cases, where BT displayed large uncertainties. Our analysis and the cofilin-1 determination provided statistically significant prognostic value in mid-low BT melanomas, which could complement further evaluation criteria to assist diagnosis and treatment decision-making. Moreover, the combined use of cofilin-1 with BT, if validated in follow-up studies, would be feasible to help patients’ selection for treatment and optimize health resources.
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